Examining AI in newsrooms — without the hype
Fifteen years reporting taught me how technology changes what we call truth. I focus on the tools reshaping journalism, from automated fact-checking to algorithmic story selection. What emerges is rarely what vendors promise.
Where this perspective comes from
Print Reporter
Breaking news in regional dailies. Manual fact verification across phone calls and paper archives shaped early instincts.
Digital Editor
First encounters with content management systems that suggested headlines. Watched algorithms decide what readers see.
Newsroom Consultant
Helped outlets integrate automated transcription and sentiment analysis. Saw the gap between vendor claims and editorial reality.
Independent Analyst
Writing about AI deployment in journalism. Tracking what actually works versus what makes compelling case studies.
How I approach editorial technology analysis
Automated transcription
Immediate value. Most newsrooms deploy successfully. Accuracy issues remain but workflow gains are measurable.
Investigative data mining
Requires technical expertise and editorial judgment. Few outlets have resources. When done well, it reveals patterns humans miss.
Headline optimization
Easy to implement but marginal gains. Often distracts from deeper editorial challenges. Popular because it feels like progress.
Automated story generation
Technical overhead high. Output quality inconsistent. Most newsrooms abandon after pilot phase despite initial enthusiasm.
Coverage that reflects real newsroom conditions
